Paper Citation Record · LEDGER

Mitigation of Camouflaged Adversarial Attacks in Autonomous Vehicles--A Case Study Using CARLA Simulator

As of 15 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2502.05208.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2502.05208 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T15:03:13.189789Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

20 of 20 outbound references displayed

verified exact0
verified fuzzy16
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f7805475-cd89-41e7-8f24-8f8c11d09228 · outbound

This paper cites Countering adversarial attacks on autonomous vehicles using denoising techniques: A review,.

Mitigation of Camouflaged Adversarial Attacks in Autonomous Vehicles--A Case Study Using CARLA Simulator Countering adversarial attacks on autonomous vehicles using denoising techniques: A review,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:03:13.580952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 774c703d-8905-45c4-a2ab-a1936f8fb51d · outbound

This paper cites Toward robust 3D perception for autonomous vehicles: A review of adversarial attacks and countermeasures,.

Mitigation of Camouflaged Adversarial Attacks in Autonomous Vehicles--A Case Study Using CARLA Simulator Toward robust 3D perception for autonomous vehicles: A review of adversarial attacks and countermeasures,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:03:13.570754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8f3167c3-ef69-4db0-bd3f-a4a3389107bd · outbound

This paper cites A review on autonomous vehicles: Progress, methods and challenges,.

Mitigation of Camouflaged Adversarial Attacks in Autonomous Vehicles--A Case Study Using CARLA Simulator A review on autonomous vehicles: Progress, methods and challenges,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-09T15:03:12.883371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cee0e19a-eaef-41fc-85b8-788abd019c44 · outbound

This paper cites Adapting image classification adversarial detection methods for traffic sign classification in autonomous vehicles: A comparative study,.

Mitigation of Camouflaged Adversarial Attacks in Autonomous Vehicles--A Case Study Using CARLA Simulator Adapting image classification adversarial detection methods for traffic sign classification in autonomous vehicles: A comparative study,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:03:13.553780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 42316b11-1bff-42de-a121-490aee06b48b · outbound

This paper cites A real-time traffic sign recog- nition method using a new attention-based deep convolutional neural network for smart vehicles,.

Mitigation of Camouflaged Adversarial Attacks in Autonomous Vehicles--A Case Study Using CARLA Simulator A real-time traffic sign recog- nition method using a new attention-based deep convolutional neural network for smart vehicles,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:03:13.543349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8b9663ce-3bee-4992-b00d-777a86973173 · outbound

This paper cites Adversarial attacks on traffic sign recognition: A survey,.

Mitigation of Camouflaged Adversarial Attacks in Autonomous Vehicles--A Case Study Using CARLA Simulator Adversarial attacks on traffic sign recognition: A survey,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:03:13.533447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0b33d7a2-e983-42d1-8b7d-09680666edd8 · outbound

This paper cites A performance comparison of YOLOv8 models for traffic sign detection in the Robotaxi-full scale autonomous vehicle competition,.

Mitigation of Camouflaged Adversarial Attacks in Autonomous Vehicles--A Case Study Using CARLA Simulator A performance comparison of YOLOv8 models for traffic sign detection in the Robotaxi-full scale autonomous vehicle competition,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:03:13.523521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7dc63a13-2ecc-4cde-8552-7cf2c45019fc · outbound

This paper cites Fooling the Eyes of Autonomous Vehicles: Robust Physical Adversarial Examples Against Traffic Sign Recognition Systems.

Mitigation of Camouflaged Adversarial Attacks in Autonomous Vehicles--A Case Study Using CARLA Simulator Fooling the Eyes of Autonomous Vehicles: Robust Physical Adversarial Examples Against Traffic Sign Recognition Systems

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-09T15:03:12.902733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation faad4521-89b1-4819-b857-44ce0de236fc · outbound

This paper cites Shadows can be danger- ous: Stealthy and effective physical-world adversarial attack by natural phenomenon,.

Mitigation of Camouflaged Adversarial Attacks in Autonomous Vehicles--A Case Study Using CARLA Simulator Shadows can be danger- ous: Stealthy and effective physical-world adversarial attack by natural phenomenon,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:03:13.513013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b79f0d8d-d9f8-429f-9af8-56ca15982502 · outbound

This paper cites WIP: Infrared laser reflection attack against traffic sign recognition systems,.

Mitigation of Camouflaged Adversarial Attacks in Autonomous Vehicles--A Case Study Using CARLA Simulator WIP: Infrared laser reflection attack against traffic sign recognition systems,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:03:13.502325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation db2521a1-911b-4ede-811a-7cbcbf5e9f37 · outbound

This paper cites Team, “Carla,” https://carla.org/, 2023.

Mitigation of Camouflaged Adversarial Attacks in Autonomous Vehicles--A Case Study Using CARLA Simulator Team, “Carla,” https://carla.org/, 2023

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:03:13.491078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fdf21ada-2d6d-4456-b2ff-72b41c389474 · outbound

This paper cites Robot operating system,.

Mitigation of Camouflaged Adversarial Attacks in Autonomous Vehicles--A Case Study Using CARLA Simulator Robot operating system,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:03:13.479783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 33184e50-cdf0-4df0-b355-66a50b247a29 · outbound

This paper cites Shapeshifter: Robust physical adversarial attack on faster R-CNN object detector,.

Mitigation of Camouflaged Adversarial Attacks in Autonomous Vehicles--A Case Study Using CARLA Simulator Shapeshifter: Robust physical adversarial attack on faster R-CNN object detector,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:03:13.435259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2f32c628-d5e5-4a3d-b728-c85628ac7164 · outbound

This paper cites Robust physical-world attacks on deep learning visual classification,.

Mitigation of Camouflaged Adversarial Attacks in Autonomous Vehicles--A Case Study Using CARLA Simulator Robust physical-world attacks on deep learning visual classification,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:03:13.377372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 440054be-6738-4bd1-89f0-88606660b554 · outbound

This paper cites Adversarial Examples that Fool Detectors.

Mitigation of Camouflaged Adversarial Attacks in Autonomous Vehicles--A Case Study Using CARLA Simulator Adversarial Examples that Fool Detectors

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T15:03:13.110156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 149c9c5d-83b0-4156-b361-bd3f293af6d4 · outbound

This paper cites Targeted attention attack on deep learning models in road sign recognition,.

Mitigation of Camouflaged Adversarial Attacks in Autonomous Vehicles--A Case Study Using CARLA Simulator Targeted attention attack on deep learning models in road sign recognition,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:03:13.321953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3d3bb20d-0678-43b9-945b-b49313bb80f3 · outbound

This paper cites Unreal engine,.

Mitigation of Camouflaged Adversarial Attacks in Autonomous Vehicles--A Case Study Using CARLA Simulator Unreal engine,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:03:13.271757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7bb2191a-5042-4889-94f0-4c2854b94eb4 · outbound

This paper cites Team, “Gimp,” https://www.gimp.org/, 2024.

Mitigation of Camouflaged Adversarial Attacks in Autonomous Vehicles--A Case Study Using CARLA Simulator Team, “Gimp,” https://www.gimp.org/, 2024

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:03:13.261141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b053f179-56aa-4833-9ab0-22c2b8266ff8 · outbound

This paper cites Szeliski, Computer Vision: Algorithms and Applications.

Mitigation of Camouflaged Adversarial Attacks in Autonomous Vehicles--A Case Study Using CARLA Simulator Szeliski, Computer Vision: Algorithms and Applications

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:03:13.251037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e74ba3e8-e41c-4486-acf1-f689721ac941 · outbound

This paper cites an unresolved cited work.

Mitigation of Camouflaged Adversarial Attacks in Autonomous Vehicles--A Case Study Using CARLA Simulator Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-09T15:03:13.239665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

No inbound Pith citation observations are available.